GPU implementation of a bio-inspired vision model

Authors:
Raquel Ureña;Christian Morillas;Samuel Romero;Francisco J. Pelayo
Affiliations:
Dept. of Computer Architecture and Technology, University of Granada, Spain;Dept. of Computer Architecture and Technology, University of Granada, Spain;Dept. of Computer Architecture and Technology, University of Granada, Spain;Dept. of Computer Architecture and Technology, University of Granada, Spain
Venue:
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
Year:
2011

Citing 3
Cited 1

A neuroengineering suite of computational tools for visual prostheses

Neurocomputing
VIS2SOUND on Reconfigurable Hardware

RECONFIG '08 Proceedings of the 2008 International Conference on Reconfigurable Computing and FPGAs
Automatic generation of bio-inspired retina-like processing hardware

IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems

Real-time bio-inspired contrast enhancement on GPU

Neurocomputing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes the implementation of a bio-inspired visual processing model which aims to remark the relevant information from a scene to generate different kinds of stimuli such as visual, haptic or audio stimuli, useful in aid systems for visually impaired persons. Desirable features for such system are real-time operation, minimum latency and portability. To meet all these requirements we have implemented the whole model in the GPU NVIDIA ION2 which is integrated in a light-weight netbook and performs at a maximum rate of 35 frames per second.